Identify the CONCLUSION of a hypothesis test of the following claim and sample data: Claim: "The average annual household income in Warren County is $47,500." A random sample of 86 households from this county is obtained, and they have an average annual income of $48,061 with a standard deviation of $2,351. Test the claim at the 0.02 significance level.

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Complete Question

The options for the above question is  

a There is not sufficient evidence to warrant rejection of the claim.    

b  There is sufficient evidence to warrant rejection of the claim.

c There is sufficient evidence to support the claim.    

d There is not sufficient evidence to support the claim.

Answer:

Option A is correct

Step-by-step explanation:

From the question we are told that

     The  population mean is  [tex]\mu =[/tex]$47,500

     The sample size is [tex]n = 86[/tex]

      The sample  mean is  [tex]\= x =[/tex]$48,061

      The standard deviation is [tex]\sigma =[/tex]$2,351

       The  level of significance is  [tex]\alpha = 0.02[/tex]

The null hypothesis  is  

     [tex]H_o : \mu =[/tex]$47,500

 The  alternative hypothesis is

      [tex]H_a : \mu \ne[/tex] $47,500

The critical value of  [tex]\alpha[/tex] from the t-Distribution table is  [tex]Z_{\frac{\alpha }{2} } = 2.326[/tex]

Now the test statistics is mathematically evaluated as

       [tex]t = \frac{\= x - \mu }{ \frac{\sigma }{\sqrt{n} } }[/tex]

substituting values

      [tex]t = \frac{48061 - 47500 }{\frac{2351}{\sqrt{86} } }[/tex]

      [tex]t = 2.21[/tex]

Now from the values  obtained we can see that

        [tex]Z_{\frac{\alpha }{2} } > t[/tex]

hence we fail to reject the null hypothesis

Hence there is not sufficient evidence to warrant rejection of the claim